Joint Trajectory and Resource Optimization for UAV-Enabled Relaying Systems

Abstract

Unmanned aerial vehicles (UAVs) have attracted attentions due to their mobility and high possibility of the line of sight (LoS) channel. We can fully use these two properties by carefully optimizing the UAVs' trajectories and cooperating with some facilities. A UAV working as a mobile relay now attracts many interests due to its low cost and reliable performance. In this paper, we study a relaying system, where a UAV works as an aerial mobile relay to help some ground base stations send information to ground users periodically by using time division multiple access (TDMA). We aim to maximize the minimum average user rate through solving a non-convex and information causality constraints involved problem by jointly optimizing the UAV trajectory, nodes scheduling, and power allocation to ensure the fairness among all users. Finally, we propose an efficient iterative algorithm to solve a derived mixed-integer nonconvex optimization problem to achieve this target by using block coordinate descent (BCD) and successive convex approximation (SCA) methods and prove the convergence of our algorithm. Simulations show the effectiveness of our proposed algorithm, some useful trade-offs and insights about the structure of our optimized trajectory, and the influence of two widely used trajectory initialization methods.

QoS-Aware Multilayer UAV Deployment to Provide VoWiFi Service over 5G Networks

“…Through put maximization optimization via trajectory has also been proposed in several works. Hu et al [31] proposed a resource and trajectory optimization problem by introducing user scheduling and bandwidth allocation; and [32,33] proposed to combine trajectory with radio resource allocation in vehicular and UAV-enabled relaying systems. Finally, other works such as [34,35] proposed to maximize the end-to-end rate by considering trajectory power allocation optimization while deploying multi-hop relay networks.…”

A Dome packing method for UAV positioning using 3D Beamforming in WPCN for water distribution network

“…The energy efficiency is still a major factor during practical implementation in wireless powered networks. Some research assumed that the UAV would have surplus energy for its operation and some used methods like successive convex approximation for solving non-convex optimization problems, scheduling to manage the energy used by UAV [10].…”

Interference coordination and throughput maximisation in an unmanned aerial vehicle‐assisted cellular: User association and three‐dimensional trajectory optimisation

“…Unmanned aerial vehicles (UAVs) have recently been found promising for wireless communications due to their advantages of strong line-of-sight (LOS) channels, high mobility, and flexible deployment [1,2]. On the one hand, many types of UAVassisted communications have been proposed, such as aerial base stations (BSs) [3], UAV-enabled relays [4,5], multi-casting [6], and data collection [7]. On the other hand, UAVs can be used as aerial nodes to execute particular tasks while controlled by the terrestrial network called cellular-connected UAVs [8].…”